Live opening · Posted 9 hours ago
At a glance
The key details from the original listing.
Your early-applicant advantage
Live timing from JobBeeper.
About the role
Description supplied by the original job listing.
An Azure Data Engineer designs, builds, and manages scalable data pipelines and cloud storage solutions on the Microsoft Azure platform.
Location- Chn/blr/hyd
Core Responsibilities
Pipeline Development: Build and maintain ETL/ELT workflows using Azure Data Factory to move data from various sources into centralized storage.
Data Processing: Transform, clean, and aggregate large datasets using Azure Databricks, Spark, and PySpark.
Storage Management: Configure and optimize data lakes and warehouses via Azure Data Lake Storage Gen2 and Azure Synapse Analytics.
Performance & Quality: Monitor pipeline performance, troubleshoot query execution, and ensure data integrity and security (RBAC, encryption).
Key Skills & Tech Stack
Languages: Advanced SQL and Python/PySpark.
Azure Services: ADF, ADLS Gen2, Databricks, Synapse Analytics, and Stream Analytics.
Data Modeling: Dimensional modeling, star/snowflake schemas, and data warehousing concepts.
DevOps: Git version control and CI/CD pipeline integration.
If you are tailoring a resume or drafting a specific job posting, tell me:
The experience level required (Junior, Mid-level, Senior)
Any specific industry tools to include (like Snowflake, Terraform, or Kafka)
Work arrangement
No
More openings worth a look
Recently tracked roles with full details and direct application links.